ECG Signal Processing Software Engineer

Medical Signal Processing Software Engineer

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About the Role

Medical Signal Processing Software Engineer

Key Responsibilities

· Design and develop software solutions for biomedical signal processing using Python, C/C++, or Java

· Reverse-engineer and decode proprietary binary files from medical monitoring devices

· Work with diverse data encoding formats including IEEE floating point, PCM, and BCD

· Build and optimize signal processing algorithms using libraries such as NumPy, SciPy, wfdb, BioSPPy, and neurokit2

· Collaborate with MATLAB-based research teams for algorithm development and integration

· Convert and standardize physiological waveform data across formats such as SCP, EDF+, HL7 aECG, DICOM waveform, and MIT-BIH

· Analyze long-duration cardiac monitoring recordings, including signal segmentation and annotation

· Utilize tools like PhysioNet WFDB Toolkit and OpenECG Tools for efficient signal file handling

· Inspect and manipulate binary data using hex editors and Python modules like struct and bitstring

· Document processing workflows, file formats, and code for maintainability and compliance

· Integrate third-party APIs and plug-ins into medical signal processing pipelines

Qualifications & Skills

· Proficiency in Python; experience with C/C++ or Java is highly desirable

· Proven expertise in reverse-engineering binary data formats

· Strong understanding of biomedical data standards, especially those used in cardiac monitoring

· Solid background in signal processing using Python and MATLAB

· Familiarity with binary inspection tools (e.g., HxD, 010 Editor) and relevant Python libraries (struct, bitstring)

· Strong problem-solving ability and the capacity to work independently and within cross-functional teams

· Experience integrating APIs and third-party plug-ins

· Exposure to AI/ML concepts is a plus

Preferred Background

· Bachelor’s or Master’s degree in Biomedical Engineering, Computer Science, Electrical Engineering, or a related field

· 7–10 years of experience in medical device software development.

· Familiarity with cloud platforms and healthcare data pipelines is advantageous